Luke Hoban

We recently released Pulumi AI, a purpose-built AI Assistant that can create cloud infrastructure using Pulumi. It builds on the power of Large Language Models (LLMs) and GPT to dramatically reduce the time it takes to discover, learn and use new cloud infrastructure APIs.

We’ve seen amazing engagement and stories from Pulumi users about the impact this tool has had for them over the past few weeks. In this post, we’ll dive deeper into this new technology, and share why we and so many other Pulumi users are so excited about Pulumi AI.

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We’ve seen incredible acceleration of cloud adoption over the past 5 years. Pulumi’s flagship open source IaC solution gives engineers great tools to scale up their cloud infrastructure using the same programming languages and tools they already know and love. As a result, thousands of companies of every size and scale have adopted Pulumi as a lynchpin of their cloud infrastructure strategy.

Today we’re excited to announce Pulumi Insights, the next major productivity enhancement for infrastructure as code. Pulumi Insights provides intelligence, search, and analytics over any infrastructure, in any cloud across your organization, leveraging the latest advances in generative AI and Large Language Models (LLMs). Whether you have an AWS VPC, a Kubernetes CRD, or a DataDog alarm definition, Pulumi Insights enables you to intelligently find and interact with all of your resources from within the Pulumi Cloud.

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We introduced Crosswalk for AWS three years ago as a library of components on top of the core AWS platform to make it easier to get from zero to production on AWS, easier to adopt AWS best practices by default, and easier to evolve your AWS infrastructure as your application needs mature. Since then, we’ve added many new capabilities, expanded the portfolio of libraries, and made these libraries available to all Pulumi languages. We’ve also seen thousands of Pulumi customers, including more than 25% of all Pulumi AWS users, adopting one or more of the Crosswalk for AWS components to aid in delivering their AWS-based applications and services.

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Our mission at Pulumi is to enable teams to scale up what they can build in the cloud. Scale up the sophistication and value of their cloud infrastructure investments through software engineering practices. Scale up the automation around delivering cloud infrastructure with software instead of just humans. And scale up the number of developers who can directly benefit from the rich cloud platform capabilities being built by central platform teams in every organization today.

As part of Pulumi Cloud Engineering Days 2022 today we are announcing a set of important new advancements in the Pulumi platform which are all designed to help organizations scale with their infrastructure as code needs.

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Earlier this year we launched support for Pulumi YAML as a new supported language for Pulumi’s Universal Infrastructure as Code platform. Pulumi YAML offers a simple declarative interface to the full breadth of the Pulumi platform, ideal for smaller scale use cases and composition of higher level component building blocks. And with support for pulumi convert, Pulumi YAML programs can be converted into a program in any other Pulumi language, ensuring you can easily scale up if and when needed.

Today, we’re excited to announce the General Availability of Pulumi YAML with the release of Pulumi YAML 1.0.

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Pulumi’s Universal Infrastructure as Code platform works with all major clouds and over 100 cloud and SaaS providers, but among all its uses one of the most important is the ability to bring rich Infrastructure as Code tools and practices to Kubernetes projects and teams.

Kubernetes is one of the most used platforms in Pulumi, second only to AWS, with thousands of organizations using Pulumi to manage clusters at scale. Pulumi supports a wide variety of use cases around Kubernetes - from cluster creation and management, to rich and expressive workload definition, to continuous delivery and infrastructure GitOps.

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Over the last year since the launch of Pulumi 3.0, we’ve seen incredible growth in adoption and usage of the Pulumi open source project and Cloud Engineering platform, with more than a thousand new open source contributors, tens of thousands of new users, and millions of new cloud infrastructure resources being managed by Pulumi. Pulumi’s infrastructure as code tools are enabling teams to scale up their cloud infrastructure with robust software engineering tools and practices to get the most value out of their cloud platform investments.

Today, we’re excited to announce a wave of innovation across the Pulumi project with a collection of significant new feature launches. These new features bring together Pulumi’s Universal Infrastructure as Code offering, supporting the widest range of builders, clouds, programming languages, and cloud architectures.

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Since we first launched Pulumi 4 years ago, a core point of differentiation between Pulumi and other Infrastructure as Code offerings has been the ability to use popular general purpose programming languages - and their rich software engineering ecosystems - in order to scale up the complexity and richness of cloud infrastructure workloads. This approach has enabled cloud builders to adopt and embrace modern Infrastructure as Code with Pulumi using a wide variety of languages, including TypeScript, Python, Go, C# and Java.

Our goal though has always been to offer the broadest range of programming language options to empower every cloud builder so that they could benefit from the best of Pulumi’s Infrastructure as Code platform.

Today, we are excited to launch Pulumi YAML, a simple YAML-based interface to the entirety of the Pulumi Infrastructure as Code platform.

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One of our key goals with Pulumi’s Universal Infrastructure as Code platform is to offer access to the widest range of cloud infrastructure building blocks for use within your cloud engineering projects. Over the years, that has led us to support interoperating seamlessly with a variety of alternative infrastructure definition formats, like Helm, CloudFormation, Azure Resource Manager and Kubernetes YAML. Today we’re really excited to add support for AWS CDK constructs to the list!

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Last year we released the Pulumi Kubernetes Operator, a new cloud-native way to manage and deploy cloud infrastructure using Pulumi from within your Kubernetes environment. Since then, we’ve worked with many Pulumi users who have adopted the Pulumi Kubernetes Operator at increasingly larger scales and for a wide variety of use cases. Today, we’re excited to make the 1.0 release of the Pulumi Kubernetes Operator available.

The Pulumi Kubernetes Operator defines a Kubernetes Custom Resource called pulumi.com/v1/Stack, which represents a Pulumi stack. The Pulumi stack can be authored in any supported Pulumi language (TypeScript, Python, Go, .NET) and can deploy and manage cloud infrastructure in any supported cloud (AWS, Azure, GCP, Kubernetes and 60+ additional cloud and SaaS providers). The Pulumi Kubernetes Operator triggers cloud deployments based on changes to the Stack Custom Resource or the resources it tracks.

As a result, the Pulumi Kubernetes Operator enables users to specify the desired state of their cloud infrastructure using resources managed directly in their Kubernetes cluster, which trigger creation, update and deletion of the detailed cloud infrastructure they need.

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